Kuration SDK open-sourced with paper to address Virtual2Real gap
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The paper proposes, and open-sources alongside it, Kuration SDK, a general-purpose physical AI data curation toolkit aimed at training action-conditioned world models and addressing the Virtual2Real gap in them. The authors trained and evaluated diffusion world models on CounterStrike gameplay data, and report that metrics such as FVD, LPIPS and JEDi do not correspond to qualitative playability. On that basis they argue that curating raw gameplay data before training begins, and measuring a range of diagnostic properties, is a more reliable signal than those metrics.
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- arXiv Game AIPickKuration SDK: Addressing the Virtual2Real Gap in World Models via Data Curation
The paper proposes and open-sources along with it Kuration SDK, a general-purpose physical AI data curation toolkit that uses data curation to address the Virtual2Real gap in training action-conditioned world models. The authors train and evaluate diffusion world models on CounterStrike gameplay data, confirming that metrics such as FVD, LPIPS and JEDi do not correspond to qualitative playability, and argue that curating raw gameplay data before training begins and measuring multiple diagnostic properties is a more reliable signal.
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